Senior Data Engineer

Industry: Transportation

Remote

Company size: 251-10K

Full-time/Part-time

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Job description

A rapidly-growing platform revolutionizing the used car industry with a technology-driven, seamless customer experience is looking for a Senior Data Engineer. The engineer will report to the VP of Engineering (TechOps) and work closely with the team that supplies Data Infrastructure to the business, including the ELT pipeline built on FiveTran, Airflow, dbt, Redshift, etc. The company is dedicated to providing comprehensive digital solutions throughout the car ownership lifecycle. The selected candidate will collaborate with the team to build a one-of-a-kind experience for customers.

Job Responsibilities:

Design, build and optimize the ELT infrastructure supporting business analytics and data science
Provide a self-service experience wherever possible for internal customers
Decide when to coach customers in pairing sessions
Update the documentation or roll up your sleeves and code
Enable nimble operation of business functions by ensuring low latency, highly reliable and secure delivery of data into the data warehouses
Design, build and optimize cloud infrastructure and build pipelines for data science projects
Assist the data science team to independently develop features in a safe and efficient manner
Contribute to key initiatives that evolve processes, including consolidating the data warehouses or adopting new technologies to support the team

Job Requirements:

Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
At least 5+ years of relevant experience managing and processing data in relational databases
Knowledge of using SQL to extract reports
2+ years of experience utilizing Cloud-based Data Warehouses such as Snowflake, Amazon Web
Services (AWS) RedShift or Google BigQuery
1+ years of professional Python programming experience
Competency in interacting with Application Programming Interfaces (APIs) and Data Processing/Extraction Transform and Load Jobs (ETLs)
1+ years of professional experience with the orchestration of ETL workflows, using tools such as Airflow
1+ years of professional experience using and administering data analytics tools such as Looker, Tableau, Periscope, or similar
1+ years of experience with modern software development practices, including automated build, tests, and deployment (CI/CD, GitOps, etc.)
Experience in supporting the needs of Data Science (Jupyter Notebook experimentation, Machine Learning (ML) model training, and hosting)
Familiarity with Infrastructure-as-Code and Configuration-as-Code (Terraform, Pulumi, CloudFormation, etc.)
Excellent written and verbal English communication skills
The ability to engage in technical conversation with Analytics users and software engineers
Demonstrate excellent team and cross-functional collaboration, exhibiting professionalism and
empathy for other functional groups within the business
Professional experience with Machine Learning applications, including development and deployment in the cloud
Competency in disciplines such as DevOps, Cloud Infrastructure, and Microservices
Expertise in tuning PostgreSQL databases for performance and scalability
Experience deploying and managing data streaming pipelines based on messaging systems such as AWS SNS/SQS, Kafka, or AWS Kinesis

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Frequently Asked Questions

What is Turing?

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

How many rounds do I need to clear before selection?

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

How is Turing different from other remote based job providers?

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What kind of developers does Turing hire?

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

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Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

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